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dc.contributor.authorElgarrai, Zineb
dc.contributor.authorElmeslouhi, Othmane
dc.contributor.authorKardouchi, Mustapha
dc.contributor.authorAllali, Hakim
dc.contributor.authorSelouani, Sid-Ahmed
dc.date2016-09
dc.date.accessioned2021-07-07T09:29:22Z
dc.date.available2021-07-07T09:29:22Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/11566
dc.description.abstractThis paper presents a new offline face recognition system. The proposed system is built on one dimensional left-to- right Hidden Markov Models (1D-HMMs). Facial image features are extracted using Gabor wavelets. The dimensionality of these features is reduced using the Fisher’s Discriminant Analysis method to keep only the most relevant information. Unlike existing techniques using 1D-HMMs, in classification step, the proposed system employs 1D-HMMs to find the relationship between reduced features components directly without any additional segmentation step of interest regions in the face image. The performance evaluation of the proposed method was performed with AR database and the proposed method showed a high recognition rate for this database.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 4, nº 1
dc.relation.urihttps://ijimai.org/journal/bibcite/reference/2520es_ES
dc.rightsopenAccesses_ES
dc.subjectface recognitiones_ES
dc.subjecthidden markov modelses_ES
dc.subjectgabor waveletses_ES
dc.subjectfisher’s discriminant analysises_ES
dc.subjectIJIMAIes_ES
dc.titleOffline Face Recognition System Based on GaborFisher Descriptors and Hidden Markov Modelses_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttp://doi.org/10.9781/ijimai.2016.412


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